TOPAZ: a Cost-Based, Rule-Driven, Multi-Phase Parallelizer
Summary: TOPAZ is a cost-based, rule-driven, multi-phase parallelizer for queries. Global-plan pruning and top-down search over operator/architecture abstractions enable speedups at low resource cost, leveraging iterators and data rivers to integrate with object-relational systems. (summarized by gpt-5-nano on Feb 09 2026)
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